
Driving Innovation in Data Engineering
1 week ago
This key leadership position oversees the end-to-end development lifecycle for icare's enterprise data platform and reusable data products.
Responsibilities:
- Lead a multidisciplinary team in designing, developing, and delivering scalable, secure, and high-performing data capabilities.
- Oversee data pipeline design, ELT/ETL patterns, and data modeling principles to ensure alignment with domain needs and platform strategy.
- Translate business requirements into well-designed data products that meet customer intelligence and insights needs.
- Manage and coach a team of engineers to embed strong solution design practices and partner with architects to ensure alignment with enterprise patterns.
Qualifications:
- 7+ years in Data Engineering, including 3+ years in leadership or senior technical roles.
- Proven experience leading Data Engineering teams in complex cloud-native environments.
- Demonstrated success delivering scalable data pipelines and reusable data products.
- Experience implementing engineering standards, code reviews, and reusable frameworks.
About This Opportunity:
This role is critical to ensuring icare's data capabilities meet reporting and customer intelligence needs. The successful candidate will inspire and lead a high-performing engineering team, fostering accountability, technical excellence, and continuous learning.
The ideal candidate will have a deep understanding of data pipeline design, ELT/ETL patterns, and data modeling principles. They will also possess excellent stakeholder communication and collaboration skills.
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